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Recovering Shape from Boundaries Sheng Xu 3/2/01
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Contrast enhanced fluoroscopic angiography An applicable imaging modality in minimally invasive interventional treatment of vascularly hyperactive targets.
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Why not CT or NMR in arteriovenous malformation (AVM) 1.Ambiguous 2.Suitable only for the spatial localization, but not for its exact delimitation 3.Subject to “partial volume artifacts”
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Structural Postulates No bifurcations The borders from 2 projections must belong to one object A preferential axis Could be broken down
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Reconstruction of the model 1.Contour detection in the projection images 2.Construction of a 3D model 3.Calculation of the volume
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Contour Detection Review
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Contour Detection (cont.) X-ZY-ZZ
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Contour Detection (cont.) Interpolation Top
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Construction of 3D Model ……………… Algorithm: Marching Cubes
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Volume Calculation Each section is divided into triangles Summation of all volumes
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Result
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Conclusion Provides the basis for further and more detailed research Not able to rebuild each and every possible object Good for object with simple shape
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My Project Projections from more angles No physical object, silhouettes are drawn manually Using Different algorithm to rebuild more complicated shape
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My Project Projections from more angles No physical object, silhouettes are drawn manually Using Different algorithm to rebuild more complicated shape
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